Course

1、分别生成两种信号（正弦波、方波、三角波、锯齿波、Sinc波形等）+噪声（高斯随机噪声、均匀噪声） 要求：频率：学号*100； 幅度：学号/10 相位：学号*pi/180 点数：学号*64 2、同时在一个图形中进行显示： 要求：标注X轴、Y轴、题目、颜色、样式、线型标注等。 3、进行信号分析及结果显示（对结果也要图形标注，同2） 要求：相关分析 卷积运算 求和运算 频谱分析（最大值、测频） 4、对上述原信号及信号分析结果分别存成EXCEL文件、文本文件和二进制文件，命名为名字+班级+学号+后缀(1, respectively, to generate two signals (sine wave, square wave, triangle wave, sawtooth wave, Sinc waveform, etc.)+ noise (Gaussian random noise, uniform noise) requirements: Frequency: No.* 100 margin: Student ID/10 phase: learning* pi/180 Points: No.* 642, in a graphical display: Requirements: X-axis label, Y axis, the title, color, style, linear marked. 3, signal analysis and results display (graphical results also marked with 2) requirements: analysis convolution summation spectrum analysis (maximum frequency measurement) 4, the original signal and the signal analysis results were kept into EXCEL files, text files and binary files, named for Name the+ class++ suffix number)

motion detctor code in a videooo

本文主要讨论在MATLAB软件中如何实现C程序源代码的移植。结合"道路平整度指数(IRI)预测问题"的实例,将C语言编写自仿射变换分形插值函数,移植(或改写)到MATLAB中,绘制出宁波机场道路平整度的预测图象,为解决预测问题可视化提供帮助。(This paper mainly discusses the MATLAB software, how to achieve C source code of the transplant. Conjunction with the road roughness index (IRI) a projection of the example of C language to self-affine fractal interpolation function transformation, transplantation (or rewritten) to MATLAB, the mapping out of Ningbo airport road roughness prediction image, To address the issue of visual projections to help.)

AMPERMETER SIMULATION

基于Weber公式的齿轮啮合刚度计算公式（MATLAB版）(calculation of gear mesh stiffness based on Weber)

说明：  x=2*sin(4*pi*t)+5*cos(8*pi*t) 对其进行快速傅立叶变换 加入高斯噪声 再进行频谱分析(x = 2* sin (4* pi* t) 5* cos (8* pi* t) makes its rapid Fourier transform to re-Gaussian noise spectral analysis)

雅克比迭代法 求Hilbert矩阵病态方程组(Iterative Method Jacobian matrix pathological Hilbert equations)

This pdf is a textbook concerning fault diagnosis techniques

载入标定工具箱标定的相机参数结果对图像进行畸变校正(Loading the camera calibration results to distort the image )

拉普拉司融合算法源代码 比较基本的算法 初学者可以(fusion algorithm source code relatively basic algorithm beginners can s)